Associate Principal Engineer, Data Engineer – Enterprise Data Architecture, Banking

This is a fully remote position, open to applicants in India.

📋 Description

• Define, implement, and uphold enterprise data architecture principles, standards, policies, and target-state architectures in alignment with business and technology strategies.

• Design and oversee current-state, transition-state, and target-state data architectures and data flows across various business domains.

• Develop and sustain enterprise data models, ensuring they are consistent with industry standards and the organization's data architecture principles.

• Review and authorize data architecture artifacts to ensure compliance with enterprise governance, policies, standards, and best practices.

• Establish and support enterprise data governance functions, architecture review boards, and governance forums, including the development of Terms of Reference (ToRs).

• Provide architectural leadership and guidance for strategic data initiatives, enterprise data platforms, and data product development.

• Collaborate with business stakeholders, enterprise architects, solution architects, and engineering teams to define scalable and future-ready data solutions.

• Evaluate and recommend enterprise data architecture methodologies, technologies, and tools to facilitate business transformation.

• Promote the adoption of modern data architecture approaches, such as Data Lake, Data Mesh, Data Fabric, Hybrid Architectures, and AI-enabled data ecosystems.

• Drive continuous improvement by identifying opportunities to enhance enterprise data architecture capabilities, governance, and operating models.

• Stay updated on emerging technologies, industry trends, and regulatory developments to ensure the organization's data architecture remains relevant and efficient.

⛳️ Requirements

• 9+ years of experience

• Proven track record in designing and delivering enterprise data architecture strategies, policies, standards, and target-state architectures.

• Demonstrated experience in establishing enterprise data governance functions, developing governance frameworks, drafting Terms of Reference (ToRs), and leading architecture review forums.

• Strong background in designing enterprise-wide data flows, integration architectures, and transition-state roadmaps across multiple business domains.

• Experience in reviewing and approving data architecture artifacts in accordance with enterprise policies, governance standards, and architectural principles.

• Strong knowledge of enterprise data modeling methodologies and industry-standard models such as FSLDM, BIRD, or equivalent frameworks.

• Solid understanding of modern data architecture paradigms, including Data Lake, Data Mesh, Data Fabric, Hybrid Architectures, and Agentic AI concepts.

• Excellent stakeholder management, communication, facilitation, and decision-making skills.

• Strong analytical and problem-solving abilities, with experience influencing architecture decisions in complex enterprise environments.

• Enterprise data modeling experience utilizing industry-standard modeling tools.

• Experience in evaluating, selecting, and implementing enterprise data architecture tools and technologies.

• Hands-on experience with cloud data platforms such as Databricks, Snowflake, or similar technologies.

• Experience with enterprise data governance and metadata management platforms such as Collibra.

• Familiarity with Enterprise Architecture tools, including LeanIX, Ardoq, or similar platforms.

• Experience working in Financial Services, Banking, or other highly regulated industries.

🏝️ Benefits

• Employees have the option to work remotely.